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  1. B200 工学部/工学研究科
  2. B200e 会議資料
  3. 国際会議

A Study on Analysis of Design Variables in Pareto Solutions for Conceptual Design Optimization Problem of Hybrid Rocket Engine

http://hdl.handle.net/2237/20699
13a91866-699b-4042-9517-fb9a4d2546ff
名前 / ファイル ライセンス アクション
1_A_Study_on_Analysis_of_Design_Variables.pdf 1_A_Study_on_Analysis_of_Design_Variables.pdf (326.0 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2014-11-05
タイトル
タイトル A Study on Analysis of Design Variables in Pareto Solutions for Conceptual Design Optimization Problem of Hybrid Rocket Engine
著者 Kudo, Fumiya

× Kudo, Fumiya

WEKO 54067

Kudo, Fumiya

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Yoshikawa, Tomohiro

× Yoshikawa, Tomohiro

WEKO 54068

Yoshikawa, Tomohiro

Search repository
Furuhashi, Takeshi

× Furuhashi, Takeshi

WEKO 54069

Furuhashi, Takeshi

Search repository
権利
権利情報 © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
キーワード
主題Scheme Other
主題 Analysis of Design Variables
キーワード
主題Scheme Other
主題 Visualization
キーワード
主題Scheme Other
主題 Isomap
キーワード
主題Scheme Other
主題 Multi-objective Genetic Algorithm
キーワード
主題Scheme Other
主題 Conceptual Design Optimization Problem of Hybrid Rocket Engine
抄録
内容記述 Genetic Algorithm (GA)[1] is one of the most effective methods in the application to optimization problems. Recently, Multi-objective Genetic Algorithm (MOGA) is focused on in the engineering design field. In this field, the analysis of design variables in the acquired Pareto solutions, which gives the designers useful knowledge in the applied problem, is important as well as the acquisition of advanced solutions. This paper proposes a new visualization method using Isomap which visualizes the geometric distances of solutions in the design variable space considering their distances in the objective space. The proposed method enables a user to analyze the design variables of the acquired solutions considering their relationship in the objective space. This paper applies the proposed method to the conceptual design optimization problem of hybrid rocket engine and studies the effectiveness of the proposed method. It shows that the visualized result gives some knowledges on the features between design variables and fitness values in the acquired Pareto solutions.
内容記述タイプ Abstract
内容記述
内容記述 2011 IEEE Congress on Evolutionary Computation (CEC). June 5-8, 2011, Ritz-Carlton, New Orleans, LA, USA
内容記述タイプ Other
出版者
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
ISBN
関連識別子
識別子タイプ ISBN
関連識別子 978-1-4244-7834-7
書誌情報 2011 IEEE Congress on Evolutionary Computation (CEC)

p. 2558-2562, 発行日 2011-06
著者版フラグ
値 author
URI
識別子 http://dx.doi.org/10.1109/CEC.2011.5949936
識別子タイプ DOI
URI
識別子 http://hdl.handle.net/2237/20699
識別子タイプ HDL
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